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Titlebook: Leading for Success; The Seven Sides to G Andrew Kakabadse,Nada Kakabadse,Linda Lee-Davies Book 2008 Palgrave Macmillan, a division of Macm

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发表于 2025-3-21 20:02:40 | 显示全部楼层 |阅读模式
书目名称Leading for Success
副标题The Seven Sides to G
编辑Andrew Kakabadse,Nada Kakabadse,Linda Lee-Davies
视频video
图书封面Titlebook: Leading for Success; The Seven Sides to G Andrew Kakabadse,Nada Kakabadse,Linda Lee-Davies Book 2008 Palgrave Macmillan, a division of Macm
描述Classic leadership theory is presented here in a fresh and fashionable framework in this new, practical book for managers. Written in entertaining style, securely underpinned with the most credible and extensive research, top level case studies and frank opinion from prominent business and political leaders is featured throughout.
出版日期Book 2008
关键词business; globalization; leadership; research; success
版次1
doihttps://doi.org/10.1007/978-0-230-22731-6
isbn_softcover978-1-349-35893-9
isbn_ebook978-0-230-22731-6
copyrightPalgrave Macmillan, a division of Macmillan Publishers Limited 2008
The information of publication is updating

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发表于 2025-3-21 22:39:28 | 显示全部楼层
Finding ways through,only does the great leader need the “spirit” to succeed but also the “spine” in more ways than one. This spine is not just the obstinate doggedness and strength of the leader themselves but the strength of the corporate structures holding it up to the competition.
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ategories such as Phytophthora, Red Rust, Scab, Stylar end rot, and Fresh leaf are utilized. To estimate the performance of each applied classifier, the six-performance evaluation metrics have been calculated where the Xception model conducted the highest accuracy of 98.88% which is good enough comp
发表于 2025-3-22 11:41:12 | 显示全部楼层
Andrew Kakabadse,Nada Kakabadse BSc. Grad. Dip., MSc. MPA., Ph.D.,Linda Lee-Davies BA (Hons) MBAts do not have information on the department to which it should be forwarded. Therefore, in this work, the three approaches to analyze each complaint are: (i) convolutional neural network (CNN) to classify the narratives; (ii) principal components analysis (PCA); and (iii) t-distributed stochastic n
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Andrew Kakabadse,Nada Kakabadse BSc. Grad. Dip., MSc. MPA., Ph.D.,Linda Lee-Davies BA (Hons) MBA We also shed light on the central role of the concepts of information granularity, information granules and ensuing hybrid constructs. Furthermore we emphasize a role of hierarchical modeling that is directly supported by stratified aspect of information granules formed at nested levels of specific
发表于 2025-3-22 20:42:50 | 显示全部楼层
Andrew Kakabadse,Nada Kakabadse BSc. Grad. Dip., MSc. MPA., Ph.D.,Linda Lee-Davies BA (Hons) MBA goal of pattern recognition, time series prediction, - telligent control, or other application areas. This book is intended to be a major reference for scientists and en- neers interested in applying new computational and mathematical tools to design hybrid intelligent systems. This book can also b
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Andrew Kakabadse,Nada Kakabadse BSc. Grad. Dip., MSc. MPA., Ph.D.,Linda Lee-Davies BA (Hons) MBA We also shed light on the central role of the concepts of information granularity, information granules and ensuing hybrid constructs. Furthermore we emphasize a role of hierarchical modeling that is directly supported by stratified aspect of information granules formed at nested levels of specific
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